Open to opportunities

LeViX User

@levixuser

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Senior Machine Learning Engineer turning end-to-end ML into reliable, monitored production.

Portugal

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What I'm looking for

I’m looking for a role where I can deliver end-to-end ML into production—MLOps, serving, and 24/7 monitoring included. I’m open to remote and I thrive pairing backend delivery with ML systems in fintech or real-time forecasting.

I’m an ML engineer with a strong MLOps side and 5+ years of Python backend experience. I take machine learning solutions from idea to production and keep them running across data pipelines, training, deployment, monitoring, and the infrastructure and APIs underneath—so I ship the serving layer too, not just the model.

In recent years in fintech, I’ve built end-to-end ML pipelines with CI/CD, set up on-prem sandboxes for data scientists, and created orchestration that distributes forecasts to B2B clients. I train on-prem, in the cloud, and on Kubernetes with GPUs, and I run 24/7 observability so issues get caught before customers feel them.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

TogetherNetworks

Sep 2024 - Present (1 year 10 months)

Built end-to-end ML pipelines with CI/CD for financial forecasting and deployed models to production. Trained on-prem GPU models on Kubernetes and ran 24/7 observability with the Grafana stack to catch issues before customers were impacted.

Python Machine Learning MLOps CI CD Kubernetes Docker GPU Training Grafana Sentry Graylog Data Pipelines Model Monitoring

Machine Learning Engineer

Comcast

May 2023 - Sep 2024 (1 year 4 months)

Delivered streaming ML for incident classification and correlation across B2B clients. Built real-time ingestion and processing pipelines on AWS using Kinesis and Spark and implemented observability with Grafana including model metrics.

Python Machine Learning XGBoost AWS Kinesis Spark Streaming Ingestion Pipelines Observability Grafana

Machine Learning Engineer

Ernst & Young

Mar 2022 - Mar 2023 (1 year)

Built an LLM-based PDF document extraction system using OCR for scanned/image documents and direct extraction for native PDFs. Fine-tuned LLMs to improve recognition quality, and led a migration from Azure to GCP for performance, scalability, and cost.

Python Machine Learning LLM Fine tuning Azure GCP

Data Scientist

Metroengine

Jul 2019 - Sep 2022 (3 years 2 months)

Developed revenue and demand forecasting models for Tokyo hotels using Facebook Prophet. Built a Django platform to visualize forecast metrics and support investigation of forecast quality.

Python Data Analysis Machine Learning Django SQL Pandas

Software Engineer

4bill

Apr 2017 - Jul 2019 (2 years 3 months)

Developed, maintained, and automated a reporting and statistical management system and enhanced a CRM system for a book retail business. Designed and implemented an end-to-end parking management system including Python/Kivy terminal interfaces, hardware integration via PySerial, NFC payment integration, Flask monitoring, and Django administration, plus an Android inspector app in Java.